Keyword Network Analysis of Infusion Nursing from Posts on the Q&A Board in the Intravenous Nurses Café.

IF 2.3 Q3 MEDICAL INFORMATICS
Jeong Yun Park, Jinkyu Lee, Bora Hong
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引用次数: 1

Abstract

Objectives: Portal sites have become places to share queries about performing nursing and obtain expert know-how. This study aimed to analyze topics of interest in the field of infusion nursing among nurses working in clinical settings.

Methods: In total, 169 user query data were collected from October 5, 2018 to December 25, 2021. This exploratory study analyzed the semantic structure of posts on the nurse question-and-answer board of an infusion nursing-related internet portal by extracting major keywords through text data analysis and conducting term frequency (TF) and term frequency-inverse document frequency (TF-IDF) analysis, N-gram analysis, and CONvergence of iteration CORrelation (CONCOR) analysis. Word cloud visualization was conducted utilizing the "wordcloud" package of Python to provide a visually engaging and concise summary of information about the extracted terms.

Results: "Infusion" was the most frequent keyword and the highest-importance word. "Infusion→line" had the strongest association, followed by "vein→catheter," "line→change," and "peripheral→vein." Three topics were identified: the replacement of catheters, maintenance of the patency of the catheters, and securement of peripheral intravenous catheters, and the subtopics were blood sampling through central venous catheter, peripherally inserted central catheter management, evidence-based infusion nursing, and pediatric infusion nursing.

Conclusions: These findings indicate that nurses have various inquiries in infusion nursing. It is necessary to re-establish the duties and roles of infusion nurses, and to develop effective infusion nursing training programs.

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关键词输液护理网络分析——从静脉护士咖啡吧问答栏的帖子看。
目的:门户网站已成为分享执行护理问题和获得专家知识的地方。本研究旨在分析在输液护理领域感兴趣的主题在护士工作在临床设置。方法:从2018年10月5日至2021年12月25日共收集169个用户查询数据。本探索性研究通过文本数据分析提取主要关键词,并进行词频(TF)、词频-逆文档频率(TF- idf)分析、N-gram分析和迭代相关收敛(CONCOR)分析,对某输液护理相关互联网门户网站护士问答板帖子的语义结构进行分析。使用Python的“wordcloud”包进行词云可视化,以提供关于提取的术语的视觉上引人入胜和简洁的信息摘要。结果:“输液”是出现频率最高、重要性最高的关键词。“输注→静脉”的相关性最强,其次是“静脉→导管”、“静脉→改变”和“外周→静脉”。确定了置管更换、置管通畅维持、外周静脉置管安全三个主题,分别为中心静脉置管采血、外周中心置管管理、循证输液护理、小儿输液护理。结论:护士对输液护理的问询多种多样。有必要重新确立输液护士的职责和角色,并制定有效的输液护理培训计划。
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来源期刊
Healthcare Informatics Research
Healthcare Informatics Research MEDICAL INFORMATICS-
CiteScore
4.90
自引率
6.90%
发文量
44
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